Data Analyst

Fitura; Utrecht; On-site; EUR 55,000 - 90,000; Full time

Job summary

Fitura is seeking a Data Analyst in Utrecht to transform large volumes of infrastructure, security, and compliance data into actionable insights. You will work in a multidisciplinary Agile DevOps/Scrumban team with infrastructure engineers, security specialists, and product owners, taking ownership of data quality, reporting capabilities, and lifecycle metrics.

You will create operational dashboards and KPIs using Power BI or Tableau, drive data governance and automation, and support

Qualifications

• Professional experience as a Data Analyst in IT Infrastructure, Security, or Tech environment.
• Strong SQL and data visualization skills for large datasets.
• Experience with lifecycle reporting, vulnerability management frameworks, and cyber risk principles.
• Proven track record working in Agile, DevOps, and Scrumban environments.

Responsibilities

• Data Analysis & Dashboarding: Analyze multi-source data to develop dashboards, reports, and KPIs.
• Data Quality & Governance: Improve data quality, definitions, and controls with DevOps teams to automate reporting.
• Lifecycle & Vulnerability Management: Track lifecycle activities and prioritize remediation from vulnerability data.
• Compliance & Audit Support: Support audit, risk, and governance through evidence collection.
• Data Modeling & Exploration: Create models for visibility into infrastructure health and security risk.

Skills

Data analysis

Data visualization

SQL

Stakeholder communication

Education

Bachelor's or Master's in Data Analytics / Computer Science / Information Management

Tools

Power BI

Tableau

Job description

Role Overview

As a Data Analyst within the Infrastructure as Code Area, you transform large volumes of infrastructure, security, and compliance data into actionable insights supporting operational excellence, risk management, and regulatory compliance. Operating within a multidisciplinary Agile DevOps/Scrumban team alongside infrastructure engineers, security specialists, and product owners, you take ownership of data quality, reporting capabilities, and lifecycle management metrics.

Key Responsibilities:

• Data Analysis & Dashboarding: Analyze multi-source operational data to develop robust dashboards, reports, and KPIs that empower data-driven decision-making.

• Data Quality & Governance: Improve data quality, definitions, and controls across the organization, collaborating with DevOps teams to automate reporting capabilities.

• Lifecycle & Vulnerability Management: Monitor Lifecycle Management (LCM) activities-tracking hardware/software end-of-life risks-and support Vulnerability Management processes by analyzing vulnerability data and prioritizing remediation.

• Compliance & Audit Support: Monitor adherence to internal and regulatory compliance requirements, supporting audit, risk, and governance activities through accurate evidence collection.

• Data Modeling & Exploration: Create and maintain data models providing visibility into infrastructure health, security risks, and operational performance.

Your Deliverables:

• Operational dashboards, KPIs, and visualization reports (Power BI / Tableau).
• Lifecycle management and vulnerability tracking reports.
• Data quality improvement plans, data models, and audit-ready compliance evidence packs.

Your Profile:

• Education: Bachelor's or Master's degree in Data Analytics, Computer Science, Information Management, or a related field.

• Experience (Hard Requirements):

  • Professional experience as a Data Analyst within an IT Infrastructure, Security, or Technology environment.
  • Strong analytical skills with demonstrable experience in data visualization/reporting tools (Power BI, Tableau) and SQL for large datasets.
  • Experience with Lifecycle Management (LCM) reporting, vulnerability management frameworks, and cyber risk principles.
  • Proven background working in Agile, DevOps, and Scrumban environments.

• Preferred Qualifications: Experience in regulated/financial services; familiarity with CMDB, Python/PowerShell/Azure, Power Platform, Databricks, and observability tools (Splunk, Elastic, Dynatrace).

• Personal Style: Proactive go-getter, strong stakeholder manager, independent problem-solver, and effective communicator capable of driving continuous improvement.